Llama 4 Maverick vs o1-mini

Comparison

As of August 25, 2026, Llama 4 Maverick is 93% cheaper per million tokens than o1-mini. Llama 4 Maverick is $0.17 / $0.85 per million input/output tokens versus o1-mini at $3.00 / $12.00. Sources: https://llama.meta.com/ and https://developers.openai.com/api/docs/pricing

Sources: Meta pricing (https://llama.meta.com/); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)

Better value

Llama 4 Maverick

Llama 4 Maverick vs o1-mini comparison

Token pricing, specs, and benchmarks side by side

Shared benchmarks

Each bar is share of the current leader on that eval. Click a row to open the board.

Llama 4 Mavericko1-mini

Score vs price

GPQA Diamond. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

Best score at each priceLlama 4 Mavericko1-mini

Metric

Llama 4 Maverick

o1-mini

Provider

Llama 4 Maverick vs o1-mini: the bottom line

Llama 4 Maverick offers significantly lower pricing, while o1-mini leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

View Llama 4 Maverick details View o1-mini details

Llama 4 Maverick vs o1-mini FAQ

Which is cheaper, Llama 4 Maverick or o1-mini?

As of August 25, 2026, Llama 4 Maverick is 93% cheaper on blended LLM API pricing. Llama 4 Maverick costs $0.17 per million input tokens and $0.85 per million output tokens ($1.02 blended 1M-in + 1M-out). o1-mini costs $3.00 / $12.00 per million tokens ($15.00 blended). Sources: https://llama.meta.com/ and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Llama 4 Maverick vs o1-mini cost per million tokens?

Llama 4 Maverick Meta API pricing is $0.17 input and $0.85 output per million tokens via Meta. o1-mini OpenAI API pricing is $3.00 input and $12.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

Which is better for coding, Llama 4 Maverick or o1-mini?

Llama 4 Maverick has a published LiveCodeBench score of 43.4%. o1-mini does not have that eval on this page yet.

What is the context window for Llama 4 Maverick vs o1-mini?

Llama 4 Maverick supports a 1M token context window, while o1-mini supports 128K tokens. Llama 4 Maverick offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.

Which model performs better on benchmarks, Llama 4 Maverick or o1-mini?

o1-mini leads on 4 of 7 shared benchmarks versus Llama 4 Maverick's 3 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.

Is Llama 4 Maverick or o1-mini better for production use?

Both Llama 4 Maverick and o1-mini are production API models. For cost-sensitive production traffic, Llama 4 Maverick has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.

Can I switch between Llama 4 Maverick and o1-mini in my app?

Yes. Call Llama 4 Maverick through Meta and o1-mini through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.

How accurate is this Llama 4 Maverick vs o1-mini pricing data?

List rates are the latest published Meta API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.

What is the output token limit for Llama 4 Maverick and o1-mini?

Llama 4 Maverick supports up to 1M output tokens per request, while o1-mini supports up to 66K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.

Which model has better throughput, Llama 4 Maverick or o1-mini?

Llama 4 Maverick runs at approximately 69.4 tokens/second while o1-mini runs at 115 tokens/second. o1-mini is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.

How do I switch the models in this Llama 4 Maverick vs o1-mini comparison?

Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 4 Maverick or o1-mini from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

Llama 4 Maverick vs o1-mini pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 4 Maverick costs $0.17/M input and $0.85/M output. o1-mini costs $3.00/M input and $12.00/M output.

Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.